TensorFlowSharp
A .NET binding to the TensorFlow C API for running existing machine learning models in C# and F#.
What is TensorFlowSharp?
TensorFlowSharp is a .NET binding to the TensorFlow C API that enables running pre-trained TensorFlow machine learning models within .NET applications. It provides a low-level, strongly-typed interface for loading TensorFlow graphs and executing them using C# or F#, allowing developers to integrate ML models into .NET workflows without relying on Python at runtime.
.NET developers who need to deploy or integrate existing TensorFlow models into C# or F# applications, particularly those working on inference pipelines or applications requiring model execution within a .NET environment.
TensorFlowSharp offers a direct, low-level binding to TensorFlow's native runtime, ensuring compatibility with existing models and providing fine-grained control over graph execution, making it ideal for scenarios where model performance and integration with .NET ecosystems are critical.
Overview
TensorFlow API for .NET languages
Use Cases
Best For
- Running pre-trained TensorFlow models in .NET applications
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